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SUMMARY:Towards the Responsible Development of Foundation Model and Genera
 tive AI - Dr. Lingjuan Lyu 
DTSTART:20250225T160500Z
DTEND:20250225T170000Z
UID:TALK228862@talks.cam.ac.uk
CONTACT:Sally Matthews
DESCRIPTION:Foundation Model and Generative AI are among the most promisin
 g topics nowadays. However\, their rapid developments also raise a series 
 of critical challenges on responsibility such as privacy\, security and In
 tellectual property (IP). In this talk\, I will touch on the relevant risk
 s and how we are championing the responsible development of Foundation Mod
 el and Generative AI\, including using Federated Learning to empower the t
 raining/fine-tuning/adaptation of foundation models without touching on th
 e original data\; training models on public and synthetic data only\; stra
 tegies to detect and address the unauthorized data usage\, training data m
 emorization\, and IP infringements\, ensuring compliance and trust. \n\nBi
 o:\nDr. Lingjuan Lyu is currently leading the privacy-preserving machine l
 earning and vision foundation model team in Sony Research. Her main resear
 ch interests include the low-cost foundation model and generative AI model
  development\, responsible AI\, and federated learning. She has won a seri
 es of awards\, including AI 10 to Watch\, IJCAI Early Career Spotlight\, I
 EEE Outstanding Leadership Award\, IBM Ph.D. Fellowship\, National Scholar
 ship\, and Best/Outstanding/Oral/Spotlight paper awards or recognitions fr
 om top venues like ICML\, ACL\, CIKM\, NeurIPS\, AAAI\, IJCAI\, WWW\, and 
 KDD. She also served as a chair\, committee member\, or organizer of top c
 onferences including her recent role as a chair for NeurIPS'24 Datasets an
 d Benchmarks. \n
LOCATION:Computer Lab\, LT2
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